Senior Specialist, Digital Process & Data Analysis

Job Description The Senior Specialist, Digital Process & Data Analysis (DPDA) serves as a strategic partner in advancing data-driven decision-making and digital capability adoption across the organization. Working closely with stakeholders, this role leads requirements gathering, alignment, and implementation of reporting solutions that integrate purpose-built applications, user-generated analytics, and NLP-based bots. In addition to ensuring compliance and business value, the Senior Specialist drives user engagement, training, communications, and data literacy initiatives, helping teams successfully adopt and maximize the impact of digital tools and insights.

• Solution delivery and product / data support:
  Support the delivery, including requirements gathering and documentation, data readiness, development, & testing, of high-value technical solutions that meet business needs and achieve broad organizational adoption.
• Investigate trends and outliers to identify drivers; form and test hypotheses appropriate to business questions.
• Support the development, implementation, and maintenance related to stakeholder engagement, training (including tool use, technical/ data literacy), and support.
• Support the collection of internal data for use in external benchmarking surveys.
• Maintain a deep understanding of systems, processes, and data flows relevant to reporting (clinical/operational).
• Engage with business stakeholders to understand and document their needs and help translate them into clear requirements and technical deliverables
• Process, compliance, & capability building:
  Maintain clear data dictionaries, metric definitions, Standard Operating Procedures (SOPs), and change logs; ensure consistency across related domains.
• Engage in learning new technologies and reporting methods.

• Business intelligence (BI) reporting and visualization:
  Advanced proficiency in one or more platforms (e.g., Qlik Sense, Power BI, Thought Spot, Tableau), with ability to design audience-appropriate dashboards and reports
• Data literacy:
  Understanding data literacy best practices, including defining storytelling guidelines, executive readout formats, and review cadences. Ability to apply governed sharing practices and basic security concepts (e.g., awareness of row-level security) within established standards
• Data preparation and quality Ability to perform light-to‑moderate wrangling across BI tools/spreadsheets Proficient in defining and applying readiness/quality checks Expert level spreadsheet and tabular proficiency through use of pivots, lookups, conditional logic, data validation, and error checks to reconcile data and support Quality Assurance (QA)
• Documentation and metadata management: proficient in versioning, naming, and access control standards; understanding of best practices related to team governance norms
• Tool administration:
  Conceptual-level understanding of workspace organization, permission models, data connections, and refresh schedules
• Working knowledge of the Software Development Lifecycle (SDLC)
• Solid knowledge of Good Clinical Practice (GCP) and ability to apply GCP to operational decision-making
• Working knowledge of database concepts, data quality, and governance Ability to connect business outcomes to technical deliverables
• Foundation in statistics and deep experience in data visualization best practices applied to operational analytics

• Ability to communicate effectively with technical and business partners with consistent ability to tell a clear, compelling story using data to inform decisions and translate technical concepts into plain language
• Ability to elicit and document business needs and translate them into requirements, user stories, or solution concepts
• Ab…